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Watch quick or full product demos on how we help data engineering teams detect, alert, and resolve data incidents before they cause business impacts.
Ask any data engineer today, and you'll hear they are underwater daily to fix data reliability and quality incidents. This chaos makes it challenging to focus on building data products for the business, and ultimately, their data SLAs are missed. Join this session to learn the top data process and quality metrics to guarantee your data SLAs.
Data observability can help data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues in near real-time. In this video, Ryan Yackel talks about the difficulty in managing the health and quality of your data sets, what data observability is, and how it can help you fix issues with your data before it impacts your bottom-line.
Databand highlights its key differentiators and capabilities for the CDO TechVent on Data Observability (August 25, 2022). See https://techvent.eckerson.com
See Solution Review’s best data reliability tools for 2022.
See Solution Review’s best data observability tools providers all in one place.
IBM Aims to Capture Growing Market Opportunity for Data Observability with Databand.ai Acquisition
Get the best practices, strategies, know-how, and tools you’ll need to set up reliable monitoring and observability around Apache Airflow.
Get the guide on how data observability is a turning point for data operations and the industry.
Watch quick or full product demos on how we help data engineering teams detect, alert, and resolve data incidents before they cause business impacts.
In this guide, we’ll help you approach proactive data observability.
We’ve compiled a list of the top data quality metrics that you can use to measure the quality of the data in your environment.
Seems like everyone is talking about data lineage these days, and for a good reason. Data lineage helps ensure better data quality across your modern data stack.
